{"title":"自适应贝叶斯方法的综合算法,用于联合检测-估计","authors":"L. Zvyagin","doi":"10.1109/SCM.2015.7190398","DOIUrl":null,"url":null,"abstract":"The article contains practical algorithm for the adaptive Bayesian approach to the synthesis of algorithms for joint detection-estimation using multi-channel and adaptive schemes for joint detection-estimation.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The adaptive Bayesian approach to the synthesis of algorithms for joint detection — Estimation\",\"authors\":\"L. Zvyagin\",\"doi\":\"10.1109/SCM.2015.7190398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article contains practical algorithm for the adaptive Bayesian approach to the synthesis of algorithms for joint detection-estimation using multi-channel and adaptive schemes for joint detection-estimation.\",\"PeriodicalId\":106868,\"journal\":{\"name\":\"2015 XVIII International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 XVIII International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM.2015.7190398\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2015.7190398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The adaptive Bayesian approach to the synthesis of algorithms for joint detection — Estimation
The article contains practical algorithm for the adaptive Bayesian approach to the synthesis of algorithms for joint detection-estimation using multi-channel and adaptive schemes for joint detection-estimation.